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Gaussian Whittle–Matérn fields on metric graphs

Bolin, David LU ; Simas, Alexandre B. LU and Wallin, Jonas LU (2024) In Bernoulli 30(2). p.1611-1639
Abstract

We define a new class of Gaussian processes on compact metric graphs such as street or river networks. The proposed models, the Whittle–Matérn fields, are defined via a fractional stochastic differential equation on the compact metric graph and are a natural extension of Gaussian fields with Matérn covariance functions on Euclidean domains to the non-Euclidean metric graph setting. Existence of the processes, as well as some of their main properties, such as sample path regularity are derived. The model class in particular contains differentiable processes. To the best of our knowledge, this is the first construction of a differentiable Gaussian process on general compact metric graphs. Further, we prove an intrinsic property of these... (More)

We define a new class of Gaussian processes on compact metric graphs such as street or river networks. The proposed models, the Whittle–Matérn fields, are defined via a fractional stochastic differential equation on the compact metric graph and are a natural extension of Gaussian fields with Matérn covariance functions on Euclidean domains to the non-Euclidean metric graph setting. Existence of the processes, as well as some of their main properties, such as sample path regularity are derived. The model class in particular contains differentiable processes. To the best of our knowledge, this is the first construction of a differentiable Gaussian process on general compact metric graphs. Further, we prove an intrinsic property of these processes: that they do not change upon addition or removal of vertices with degree two. Finally, we obtain Karhunen–Loève expansions of the processes, provide numerical experiments, and compare them to Gaussian processes with isotropic covariance functions.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Gaussian processes, networks, quantum graphs, stochastic partial differential equations
in
Bernoulli
volume
30
issue
2
pages
29 pages
publisher
Chapman and Hall
external identifiers
  • scopus:85185943386
ISSN
1350-7265
DOI
10.3150/23-BEJ1647
language
English
LU publication?
yes
id
721a1d74-b210-4add-9fc2-18315e086605
date added to LUP
2024-03-15 12:01:40
date last changed
2024-03-15 12:02:28
@article{721a1d74-b210-4add-9fc2-18315e086605,
  abstract     = {{<p>We define a new class of Gaussian processes on compact metric graphs such as street or river networks. The proposed models, the Whittle–Matérn fields, are defined via a fractional stochastic differential equation on the compact metric graph and are a natural extension of Gaussian fields with Matérn covariance functions on Euclidean domains to the non-Euclidean metric graph setting. Existence of the processes, as well as some of their main properties, such as sample path regularity are derived. The model class in particular contains differentiable processes. To the best of our knowledge, this is the first construction of a differentiable Gaussian process on general compact metric graphs. Further, we prove an intrinsic property of these processes: that they do not change upon addition or removal of vertices with degree two. Finally, we obtain Karhunen–Loève expansions of the processes, provide numerical experiments, and compare them to Gaussian processes with isotropic covariance functions.</p>}},
  author       = {{Bolin, David and Simas, Alexandre B. and Wallin, Jonas}},
  issn         = {{1350-7265}},
  keywords     = {{Gaussian processes; networks; quantum graphs; stochastic partial differential equations}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{1611--1639}},
  publisher    = {{Chapman and Hall}},
  series       = {{Bernoulli}},
  title        = {{Gaussian Whittle–Matérn fields on metric graphs}},
  url          = {{http://dx.doi.org/10.3150/23-BEJ1647}},
  doi          = {{10.3150/23-BEJ1647}},
  volume       = {{30}},
  year         = {{2024}},
}